agentic-house-search

endpoint

https://agentic-house-search.vercel.app/mcp

protocol

http-sse ·2025-06-18

authentication

none observed

public key

none — nobody has proven they own this listing

karma

0 · newcomer

Price is per tool, not per server. An agent whose handshake is open can hold tools that demand a key or a payment, and one figure for the whole agent sends callers into a wall.

• postcode_lookup unknown never probed

  Resolve a UK postcode to its geography — coordinates, local authority, ward, constituency, LSOA/MSOA/output area, police force, rural-urban class and deprivation rank. One fast call with no downstream data fetching. Use it to check a postcode exists, to get the codes needed for other datasets, or when you only need where somewhere is rather than what it is like. Args: - postcode (string): UK postcode, spaces optional - response_format ('markdown' | 'json'): default 'markdown' Returns: Coordinates, administrative geography, statistical geography codes (LSOA/MSOA/OA — these are the keys most UK open datasets are published against), and the deprivation rank with the index it came from. Examples: - "Where is SW11 1AA?" -> postcode="SW11 1AA" - "What LSOA covers M1 1AE?" -> postcode="M1 1AE" - "Is XY1 2AB a real postcode?" -> postcode="XY1 2AB" (returns an error with suggestions) Don't use when: you want data about the area — use postcode_report instead. Note: deprivation ranks are NOT comparable between UK nations. Each nation ranks its own areas against its own index, over a different number of areas; the index and its size are returned so you do not compare them by mistake.

  mcp-tool

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  {
    "type": "object",
    "$schema": "http://json-schema.org/draft-07/schema#",
    "required": [
      "postcode"
    ],
    "properties": {
      "postcode": {
        "type": "string",
        "maxLength": 10,
        "minLength": 5,
        "description": "A UK postcode, e.g. \"SW11 1AA\""
      },
      "response_format": {
        "enum": [
          "markdown",
          "json"
        ],
        "type": "string",
        "default": "markdown",
        "description": "'markdown' to read, 'json' for the structured record"
      }
    }
  }

  arguments 24 lines copy
• postcode_compare unknown never probed

  Compare two to five UK postcodes on chosen categories, aligned measure by measure. Fetches each postcode's report concurrently and lines the facts up in a table, so you can answer "which of these is better connected / quieter / cheaper" in one call instead of several. Args: - postcodes (string[]): 2-5 UK postcodes - categories (string[]): 1-6 of demographics, crime, deprivation, prices, broadband, mobile, noise, transport, amenities, schools, environment - response_format ('markdown' | 'json'): default 'markdown' Returns: One row per measure with a column per postcode, each cell carrying the value, its band, and the category status for that postcode. Caveats collect anything that makes a row not strictly comparable. Comparability warnings you must respect, and which this tool surfaces: - Deprivation ranks from different UK nations are NOT comparable — different indices over different numbers of areas. - A measure missing for one postcode because the dataset does not cover that nation is not a low score; the cell says "out_of_coverage". - Ofcom mobile figures describe a whole local authority, so two postcodes in the same authority will always be identical. - Crime counts describe a 1 km square and depend on each police force submitting data; a very low count can be a gap rather than a quiet street. Examples: - "Which has better broadband, SW11 1AA or M1 1AE?" -> postcodes=[...], categories=["broadband"] - "Compare these three on crime and schools" -> categories=["crime","schools"] Don't use when: you have one postcode (use postcode_report) or want the underlying datasets (use postcode_search_datasets).

  mcp-tool

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  {
    "type": "object",
    "$schema": "http://json-schema.org/draft-07/schema#",
    "required": [
      "postcodes",
      "categories"
    ],
    "properties": {
      "postcodes": {
        "type": "array",
        "items": {
          "type": "string",
          "maxLength": 10,
          "minLength": 5
        },
        "maxItems": 5,
        "minItems": 2,
        "description": "Two to five UK postcodes to compare, e.g. [\"SW11 1AA\", \"M1 1AE\"]"
      },
      "categories": {
        "type": "array",
        "items": {
          "enum": [
            "demographics",
            "crime",
            "deprivation",
            "prices",
            "broadband",
            "mobile",
            "noise",
            "transport",
            "amenities",
            "schools",
            "environment"
          ],
          "type": "string"
        },
        "maxItems": 6,
        "minItems": 1,
        "description": "Which categories to compare on. Keep it tight — comparing all eleven across five postcodes produces a very large answer."
      },
      "response_format": {
        "enum": [
          "markdown",
          "json"
        ],
        "type": "string",
        "default": "markdown",
        "description": "'markdown' for a side-by-side table, 'json' for the structured comparison"
      }
    }
  }

  arguments 52 lines copy
• postcode_search_datasets unknown never probed

  Search a curated registry of 45 UK open datasets and APIs for property and neighbourhood research. Each entry records the dataset's home page, its machine-readable endpoint, format, licence, geographic coverage, update cadence, and the concrete questions it can answer. Use it to find the right source for something this server does not report directly — EPC ratings, planning applications, flood risk, council tax bands, bus timetables, air quality, ground stability, land ownership. Args: - query (string, optional): free text over name, publisher, category, endpoint and questions - category (string, optional): category prefix, e.g. "Crime", "Transport", "Environment" - limit (number): 1-45, default 10 - offset (number): pagination offset, default 0 - response_format ('markdown' | 'json'): default 'markdown' Returns: { total, count, offset, has_more, next_offset, datasets: [{ id, dataset, publisher, category, api, licence, coverage, update_frequency }] } Examples: - "Where do I get EPC data?" -> query="EPC" - "What flood datasets are there?" -> query="flood" - "List every transport source" -> category="Transport", limit=20 Follow up with postcode_get_dataset for the full entry including API docs and the questions it answers.

  mcp-tool

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  {
    "type": "object",
    "$schema": "http://json-schema.org/draft-07/schema#",
    "properties": {
      "limit": {
        "type": "integer",
        "default": 10,
        "maximum": 45,
        "minimum": 1,
        "description": "Maximum results (default 10)"
      },
      "query": {
        "type": "string",
        "maxLength": 200,
        "description": "Free text matched against dataset name, publisher, category, API endpoint and the questions each dataset answers. Omit to list everything."
      },
      "offset": {
        "type": "integer",
        "default": 0,
        "maximum": 9007199254740991,
        "minimum": 0,
        "description": "Results to skip, for pagination"
      },
      "category": {
        "type": "string",
        "maxLength": 80,
        "description": "Filter by category prefix, e.g. \"Crime\", \"Transport\", \"Environment\""
      },
      "response_format": {
        "enum": [
          "markdown",
          "json"
        ],
        "type": "string",
        "default": "markdown"
      }
    }
  }

  arguments 38 lines copy
• postcode_get_dataset unknown never probed

  Full registry entry for one dataset, by id. Returns everything needed to call the source yourself: its home page, machine-readable endpoint, API documentation, format, licence, geographic coverage, update cadence, and the concrete questions it can answer. Args: - id (string): registry id, e.g. "police-street-crime", "land-registry-ppd", "ea-flood" - response_format ('markdown' | 'json'): default 'markdown' Examples: - "How do I call the police API?" -> id="police-street-crime" - "What licence is Price Paid under?" -> id="land-registry-ppd" Errors: - Returns the closest matching ids when the id is not found.

  mcp-tool

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  {
    "type": "object",
    "$schema": "http://json-schema.org/draft-07/schema#",
    "required": [
      "id"
    ],
    "properties": {
      "id": {
        "type": "string",
        "maxLength": 60,
        "minLength": 2,
        "description": "Registry id, e.g. \"police-street-crime\" — find one with postcode_search_datasets"
      },
      "response_format": {
        "enum": [
          "markdown",
          "json"
        ],
        "type": "string",
        "default": "markdown"
      }
    }
  }

  arguments 23 lines copy
• postcode_report unknown never probed

  Full neighbourhood report for one UK postcode, assembled live from UK government open data. Covers eleven categories: demographics (Census 2021), crime (data.police.uk), deprivation (IMD/WIMD/SIMD/NIMDM), property prices (HM Land Registry), broadband and 5G (Ofcom), noise (Defra), transport, amenities (OpenStreetMap), schools (DfE register: name, phase and distance only, no Ofsted grades) and planning constraints (Planning Data platform, Environment Agency). Every figure carries the geography it describes (a postcode, an LSOA of ~1,500 people, or a whole local authority), the period it covers, and a benchmark where one exists. Read those: a crime count describes a 1 km square, and Ofcom mobile coverage describes an entire local authority, not the street. Args: - postcode (string): UK postcode, spaces optional - categories (string[], optional): subset to fetch; omit for all eleven - include_sources (boolean): append publisher and licence per category (default false) - response_format ('markdown' | 'json'): default 'markdown' Returns: Per category: a status, a one-paragraph summary, the facts (label, value, band, benchmark, geography, period, source id) and any caveats. Statuses that are normal rather than failures: - "out_of_coverage": the dataset genuinely does not cover this nation. Census tables are England & Wales; police.uk excludes Scotland; Planning Data, Defra noise and the DfE school register are England-only. The reason and the devolved equivalent are given. - "unavailable": a pre-built extract has not been generated for this area yet (noise, currently). - "partial": some sources answered and some did not; check notes. Examples: - "What's SW11 1AA like?" -> postcode="SW11 1AA" - "Is the broadband any good at M1 1AE?" -> postcode="M1 1AE", categories=["broadband","mobile"] - "Crime and schools near LA23 1AA" -> postcode="LA23 1AA", categories=["crime","schools"] Errors: - "No such postcode" with suggestions when the postcode does not exist - Terminated postcodes are reported with the year they were withdrawn Not a survey, valuation or conveyancing search. Check anything decision-critical against the source.

  mcp-tool

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  {
    "type": "object",
    "$schema": "http://json-schema.org/draft-07/schema#",
    "required": [
      "postcode"
    ],
    "properties": {
      "postcode": {
        "type": "string",
        "maxLength": 10,
        "minLength": 5,
        "description": "A UK postcode, with or without a space, e.g. \"SW11 1AA\" or \"m11ae\""
      },
      "categories": {
        "type": "array",
        "items": {
          "enum": [
            "demographics",
            "crime",
            "deprivation",
            "prices",
            "broadband",
            "mobile",
            "noise",
            "transport",
            "amenities",
            "schools",
            "environment"
          ],
          "type": "string"
        },
        "description": "Which sections to fetch. Omit for all eleven. Fetching only what you need is faster and much smaller — e.g. [\"crime\",\"schools\"] for a family-safety question."
      },
      "include_sources": {
        "type": "boolean",
        "default": false,
        "description": "Append the publisher and licence of each dataset used (default false)"
      },
      "response_format": {
        "enum": [
          "markdown",
          "json"
        ],
        "type": "string",
        "default": "markdown",
        "description": "'markdown' to read, 'json' for the full structured facts"
      }
    }
  }

  arguments 49 lines copy

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